Federated learning for green and sustainable 6G IIoT applications

被引：28
作者：
Quy, Vu Khanh [1 ]
Nguyen, Dinh C. [2 ]
Van Anh, Dang [1 ]
Quy, Nguyen Minh [1 ]
机构：
[1] Hung Yen Univ Technol & Educ, Hungyen, Vietnam
[2] Univ Alabama Huntsville, Alabama, NY 35899 USA
来源：
INTERNET OF THINGS | 2024年 / 25卷
关键词：
Federated Learning; Artificial Intelligence; Industrial Internet of Things; Smart IoT Applications; PRIVACY; ENERGY; 5G; INTELLIGENCE; BLOCKCHAIN; FUTURE;
D O I：
10.1016/j.iot.2024.101061
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The 6th generation mobile network (6G) is expected to be launched in the early 2030s. The architecture of 6G will be the convergence of space, air, ground, and undersea networks. The power and intelligence of 6G based on advanced AI techniques will realize the concept of the Industrial Internet of Things (IIoT). In this study, we conduct a comprehensive survey of 6G IIoT applications based on Federated Learning (FL), starting from introducing recent advances in FL and IIoT systems to discussing how to integrate them. In particular, we highlight the potential of FL for supporting a range of IIoT systems such as smart medical, intelligent transportation, smart cities, unmanned aerial vehicles, and smart industry. The important discussions to drive FL into IIoT applications are emphasized. Finally, we present challenges and open issues for future research to realize green and suitable FL -based IIoT applications.
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收藏
页数：17
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共 95 条
[1]   15 million people have died in the pandemic, WHO says [J].
Adam, David .
NATURE, 2022, 605 (7909) :206-206
[2]   A Multilayer Deep Learning Approach for Malware Classification in 5G-Enabled IIoT [J].
Ahmed, Imran ;
Anisetti, Marco ;
Ahmad, Awais ;
Jeon, Gwanggil .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 19 (02) :1495-1503
[3]   Edge Intelligence-based Privacy Protection Framework for IoT-based Smart Healthcare Systems [J].
Akter, Mahmuda ;
Moustafa, Nour ;
Lynar, Timothy .
IEEE INFOCOM 2022 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS), 2022,
[4]   6G and Beyond: The Future of Wireless Communications Systems [J].
Akyildiz, Ian F. ;
Kak, Ahan ;
Nie, Shuai .
IEEE ACCESS, 2020, 8 :133995-134030
[5]   Federated learning in smart cities: Privacy and security survey [J].
Al-Huthaifi, Rasha ;
Li, Tianrui ;
Huang, Wei ;
Gu, Jin ;
Li, Chongshou .
INFORMATION SCIENCES, 2023, 632 :833-857
[6]   P3S: Pertinent Privacy-Preserving Scheme for Remotely Sensed Environmental Data in Smart Cities [J].
Algarni, Fahad ;
Khan, Mohammad Ayoub ;
Alawad, Wedad ;
Halima, Nadhir Ben .
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2023, 16 :5905-5918
[7]   Big Data Resource Management & Networks: Taxonomy, Survey, and Future Directions [J].
Awaysheh, Feras M. ;
Alazab, Mamoun ;
Garg, Sahil ;
Niyato, Dusit ;
Verikoukis, Christos .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2021, 23 (04) :2098-2130
[8]   Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions [J].
Bashir, Ali Kashif ;
Victor, Nancy ;
Bhattacharya, Sweta ;
Huynh-The, Thien ;
Chengoden, Rajeswari ;
Yenduri, Gokul ;
Maddikunta, Praveen Kumar Reddy ;
Pham, Quoc-Viet ;
Gadekallu, Thippa Reddy ;
Liyanage, Madhusanka .
IEEE INTERNET OF THINGS JOURNAL, 2023, 10 (24) :21873-21891
[9]   Fusion of Federated Learning and Industrial Internet of Things: A survey [J].
Boobalan, Parimala ;
Ramu, Swarna Priya ;
Quoc-Viet Pham ;
Dev, Kapal ;
Pandya, Sharnil ;
Maddikunta, Praveen Kumar Reddy ;
Gadekallu, Thippa Reddy ;
Thien Huynh-The .
COMPUTER NETWORKS, 2022, 212
[10]   Secure Real-Time Multimedia Data Transmission from Low-Cost UAVs with A Lightweight AES Encryption [J].
Cecchinato, Niccolo ;
Toma, Andrea ;
Drioli, Carlo ;
Oliva, Giuseppe ;
Sechi, Gianluigi ;
Foresti, Gian Luca .
IEEE COMMUNICATIONS MAGAZINE, 2023, 61 (05) :160-165
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